Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Schmeisser
3
69 kgAverin
4
69 kgPérez
5
58 kgKonečný
6
75 kgKlasa
7
79 kgVasile
8
66 kg
3
69 kgAverin
4
69 kgPérez
5
58 kgKonečný
6
75 kgKlasa
7
79 kgVasile
8
66 kg
Weight (KG) →
Result →
79
58
3
8
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHMEISSER Siegbert | 69 |
| 4 | AVERIN Alexandre | 69 |
| 5 | PÉREZ Jorge Antonio | 58 |
| 6 | KONEČNÝ Vlastibor | 75 |
| 7 | KLASA Michal | 79 |
| 8 | VASILE Teodor | 66 |